As labor market data is scarce in Sub-Saharan Africa (SSA), this paper uses household survey data to analyze the determinants of the gender gap in the labor market and its welfare implications for five SSA countries in multinomial logit models with propensity score matching method. The analysis confirms that education opens up opportunities for women to escape agricultural feminization and enga...

Propensity scores are increasingly being used in large sample studies to control for pregroup differences. Because these scores are often used to match cases, they can result in sample attrition. In smaller sample studies, such attrition leaves too few cases for meaningful analysis. Alternatives when working with small samples are to use propensity scores as covariates to control for pre-group ...

Propensity score methods allow investigators to estimate causal treatment effects using observational or nonrandomized data. In this article we provide a practical illustration of the appropriate steps in conducting propensity score analyses. For illustrative purposes, we use a sample of current smokers who were discharged alive after being hospitalized with a diagnosis of acute myocardial infa...

هدف: هدف پژوهش حاضر بررسی ویژگی‌های روان سنجی مقیاس استرس آسیب‌زا کوید-19 بود که اثرات ویروس کرونا را بر جنبه‌های مختلف زندگی مردم ایران مورد قرار می‌دهد. روش:پژوهش توصیفی از نوع همبستگی بود. جامعۀ آماری شامل کلیۀ افرد بزرگسال شهر تهران در دامنۀ سنی 17 تا 72 سال 461 نفر طریق فراخوانی اینترنتی تحقیق شرکت کردند. برای تجزیه‌وتحلیل داده‌ها دو روی‌آورد کلاسیک و نظریۀ سؤال- پاسخ نرم­افزارهای Spss نسخ...

A propensity score is the probability that an individual will be assigned to a condition or group, given a set of baseline covariates when the assignment is made. For example, the type of drug treatment given to a patient in a real-world setting might be non-randomly based on the patient's age, gender, geographic location, and socioeconomic status when the drug is prescribed. Propensity scores ...

The propensity score is defined as the probability of each individual study subject being assigned to a group of interest for comparison purposes. Propensity score adjustment is a method of ensuring an even distribution of confounders between groups, thereby increasing between group comparability. Propensity score analysis is therefore an increasingly applied statistical method in observational...

Since the seminal paper by Rosenbaum and Rubin (1983b) on propensity score analysis, research using propensity score analysis has grown exponentially over three decades. Nevertheless, some methodological and practical issues still remain unresolved. This introductory chapter describes these issues along with an introduction to basic concepts of propensity score analysis. The remaining chapters ...